20.500.12556/RUL-155941 Prepoznava plovil na reki River vessels recognition Cilj diplomske naloge je ustvariti sistem za analizo rečnega prometa in turizma s štetjem specifičnih plovil. Model bo osnovan na družini modelov za prepoznavo YOLO. Na izbiro je vplivala predvsem zmožnost YOLO modelov za prepoznavo v realnem času - več kot 60 slik na sekundo. Podatki za učenje in ocenjevanje bodo pridobljeni s snemanjem prometa na reki Soči na različnih lokacijah in v različnih vremenskih razmerah. Iz potrebe po veliki količini označenih podatkov bomo uporabili metode za avtomatsko označevanje. Ocenjevanje bo izvedeno na testnih podatkih in v realnem primeru uporabe. The purpose of this thesis is to create a model for recognition of river vessels. It is going to be used for counting different vessels and analyzing river traffic and tourism activities. The model will be based on a family of YOLO models for recognition. The most important factor in the decision was the property of YOLO models to recognize objects in real time - more than 60 frames per seconds. Data for learning and evaluation is going to be acquired with filming traffic on river Soča on different locations and weather conditions. In need for a large set of labeled data we use systems for automatic labeling. Evaluation will be done on the test data and on real world examples. Prepoznava Označevanje YOLO rečni promet Recognition Labeling YOLO river traffic true false false Slovenski jezik Angleški jezik Diplomsko delo/naloga 2024-04-24 15:44:39 2024-04-24 15:44:39 2024-05-17 06:36:52 0000-00-00 00:00:00 2024 0 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 36854 193088771 Besednjak_Zan_-_Prepoznava_plovil_na_reki.pdf Besednjak_Zan_-_Prepoznava_plovil_na_reki.pdf 1 0BEE9F5FAA12255E739E5AAEF489CA56 408cc0881a135b52654ec3bda21be091915750730320e3a89ce962b260679f73 cdd7c37d-0240-11ef-a15b-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=183079 Fakulteta za računalništvo in informatiko 0 0 0